Check patentability & draft patents in minutes with Patsnap Eureka AI!

Road surface crack detection method

A crack detection, road surface technology, applied in image data processing, image enhancement, instrumentation, etc., to achieve the effect of improving pixel accuracy

Active Publication Date: 2020-02-04
SHANGHAI INST OF TECH
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] These methods have a certain role and effect for crack detection research. The effect of pavement crack detection needs to pay attention to the two indicators of detection accuracy and detection efficiency. At present, it seems that the existing schemes cannot meet these two indicators.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Road surface crack detection method
  • Road surface crack detection method
  • Road surface crack detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0046] figure 1 is a structural diagram of a convolutional neural network according to an embodiment of the present invention; figure 2 It is the Hourglass module structural diagram of an embodiment of the present invention; image 3 It is a structural diagram of the Residual module of an embodiment of the present invention; FIG. 4 is a flow chart of a road surface crack detection method according to an embodiment of the present invention.

[0047] The invention provides a road surface crack detection method, comprising:

[0048] Step S1, creating a pavement image library that contains pavement pictures containing cracks and pavement pictures without cracks;

[0049] Here, this step is for data preparation: create a pavement im...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a road surface crack detection method. According to the invention, the detection speed is improved while the high-level pixel accuracy is ensured. According to the invention, the defect of road crack detection in the prior art is overcome, the road crack detection and classification method based on combination of image processing and the convolutional neural network is provided, through supervised learning, a manually labeled segmentation result is used as a training target, and better representative features can be learned from the manually labeled segmentation result.

Description

technical field [0001] The invention relates to a method for detecting road surface cracks. Background technique [0002] my country's economy is developing rapidly, and road construction has also made extraordinary achievements. In 1978, China's road mileage was only 120,000 kilometers. By 2018, China's road mileage had grown to 4.05 million kilometers. Development provides a solid foundation guarantee. However, the road has been exposed to the outside world for a long time, and it is constantly under the washing of rainwater, the weight of vehicles, and man-made damage, etc. The regular maintenance of the road is particularly important. If there is a problem with the road, it will seriously affect the traffic safety. . In all kinds of road maintenance, pavement cracks are the most important index to measure road quality. If cracks can be detected in time at the early stage of occurrence, and the development of cracks can be tracked in real time, the maintenance cost of th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/04G06K9/62
CPCG06T7/0002G06T2207/20084G06T2207/20081G06T2207/30168G06N3/045G06F18/2155G06F18/24
Inventor 王雷朋马向华叶银忠杨振坤李威赵阳
Owner SHANGHAI INST OF TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com